About Me
Data Developer and Data Analyst with 5+ years of experience in ETL pipeline development, data modeling, and analytics. Most recently at Neo Financial, building production data pipelines with SQL, Python, Snowflake, Airfl…
Data Developer and Data Analyst with 5+ years of experience in ETL pipeline development, data modeling, and analytics. Most recently at Neo Financial, building production data pipelines with SQL, Python, Snowflake, Airflow, dbt, and Terraform. Apply AI in a structured workflow to increase speed on development, testing, and analysis, then use that time to grow in data architecture: helping design the system and turning messy source data into clean, usable datasets for business decisions.
Experience
Data Developer
<p>Collaborated with product, operations, and engineering teams to build and maintain Airflow ETL pipelines that turned messy source data into reliable, business-ready tables.</p><p> Developed and supported pipelines using SQL, Python, Snowflake, and dbt; managed infrastructure as code with Terraform to ensure repeatable, secure deployments.</p><p> Applied AI tools in a controlled workflow to speed up development, testing, and analysis, freeing time to focus on data architecture and system improvements.</p><p> Modeled rewards clawback for refund transactions, helping reduce operational costs and protect margins.</p><p> Cleaned, validated, and organized datasets to improve accuracy and shorten time-to-insight for analysts and stakeholders.</p>
Data Engineer
<p>Designed and deployed ETL pipelines in Azure Data Factory and AWS Lambda, reducing pipeline failures by 30%.</p><p> Engineered SQL Server databases for four asset classes, improving data consistency by 40%.</p><p> Built a Streamlit app for property comparisons, cutting analysis time by 35%, and delivered Power BI dashboards for cross-functional teams.</p>
Senior Data Analyst
<p>Optimized ETL pipelines with Python, SQL, and Azure, accelerating data processing by 25%.</p><p> Improved sales data accuracy to 95% through automated SQL validations, and built Power BI dashboards that reduced decision time by 40%.</p>
Data Analyst
<p>Built predictive models that increased student engagement by 15% through personalized exercise recommendations.</p><p> Streamlined Python and AWS Lambda workflows, reducing data retrieval time by 20%, and managed Amazon S3 access for data security compliance.</p>